fixed some python2 to python3 changes as well as dat time formats

src/damaris/data/Accumulation.py

@@ -1160,6 +1160,26 @@ def read_from_hdf(hdf_node):
     earliest_time=None
     if "earliest_time" in dir(hdf_node._v_attrs):
         timestring=hdf_node._v_attrs.__getattr__("earliest_time")
+        # Handle both formats: "20260705 19:13:59.162" and "2026-07-05 19:13:59.162"
+        if '-' in timestring:
+            # New format: "2026-07-05 19:13:59.162"
+            try:
+                earliest_time=datetime.datetime.strptime(str(timestring), '%Y-%m-%d %H:%M:%S.%f')
+            except ValueError:
+                # Fallback to manual parsing
+                parts = timestring.split()
+                if len(parts) >= 2:
+                    date_parts = parts[0].split('-')
+                    time_parts = parts[1].split(':')
+                    if len(date_parts) == 3 and len(time_parts) >= 2:
+                        year, month, day = int(date_parts[0]), int(date_parts[1]), int(date_parts[2])
+                        hour, minute = int(time_parts[0]), int(time_parts[1])
+                        second_parts = time_parts[2].split('.') if len(time_parts) > 2 else ['0']
+                        second = int(second_parts[0])
+                        microsecond = int(second_parts[1].ljust(6, '0')[:6]) if len(second_parts) > 1 else 0
+                        earliest_time=datetime.datetime(year, month, day, hour, minute, second, microsecond)
+        else:
+            # Old format: "20260705 19:13:59.162"
             earliest_time=datetime.datetime(int(timestring[:4]),  # year
                                             int(timestring[4:6]), # month
                                             int(timestring[6:8]), # day
@@ -1172,6 +1192,26 @@ def read_from_hdf(hdf_node):
     oldest_time=None
     if "oldest_time" in dir(hdf_node._v_attrs):
         timestring=hdf_node._v_attrs.__getattr__("oldest_time")
+        # Handle both formats: "20260705 19:13:59.162" and "2026-07-05 19:13:59.162"
+        if '-' in timestring:
+            # New format: "2026-07-05 19:13:59.162"
+            try:
+                oldest_time=datetime.datetime.strptime(str(timestring), '%Y-%m-%d %H:%M:%S.%f')
+            except ValueError:
+                # Fallback to manual parsing
+                parts = timestring.split()
+                if len(parts) >= 2:
+                    date_parts = parts[0].split('-')
+                    time_parts = parts[1].split(':')
+                    if len(date_parts) == 3 and len(time_parts) >= 2:
+                        year, month, day = int(date_parts[0]), int(date_parts[1]), int(date_parts[2])
+                        hour, minute = int(time_parts[0]), int(time_parts[1])
+                        second_parts = time_parts[2].split('.') if len(time_parts) > 2 else ['0']
+                        second = int(second_parts[0])
+                        microsecond = int(second_parts[1].ljust(6, '0')[:6]) if len(second_parts) > 1 else 0
+                        oldest_time=datetime.datetime(year, month, day, hour, minute, second, microsecond)
+        else:
+            # Old format: "20260705 19:13:59.162"
             oldest_time=datetime.datetime(int(timestring[:4]),  # year
                                           int(timestring[4:6]), # month
                                           int(timestring[6:8]), # day
@@ -1212,7 +1252,7 @@ def read_from_hdf(hdf_node):
     accu.y_square=[]
     accu.use_error=False
 
-    for ch in range(accu_data.shape[1]/2):
+    for ch in range(accu_data.shape[1] // 2):
         accu.y.append(accu_data[:,ch*2]*accu.n)
         if accu.n<2 or numpy.all(accu_data[:,ch*2+1]==0.0):
             accu.y_square.append(numpy.zeros((accu_data.shape[0]) ,dtype="float32"))